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High — Tier-1 brand, metro Bangalore, mid-level generalist QA role attracting broad applicant pools.
Medium — Snowflake/Databricks data-migration testing skills are domain-specific but transferable across data engineering teams.
Medium — requires specific Snowflake/Databricks data-testing skills and documented validation evidence.
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Manage quality assurance and data validation for migrated Snowflake workloads on Databricks, including executing test cases and validating source-to-target parity.
Capture test evidence, track defects, support reconciliation, and report quality status through SIT, QA, production readiness, and hypercare phases.
Coordinate defect reproduction, triage, and retesting with Data Engineers and contribute to final validation reports and operational handoff documentation.
Experience in data migration testing, SQL validation, ETL/ELT testing, and defect management.
Familiarity with Snowflake and Databricks environments and source-to-target comparison methods (row count, aggregate checks, schema validation).
Knowledge of test evidence documentation, automated testing concepts, and quality reporting.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in data pipeline validation and integration flows in cloud data platforms like Snowflake and Databricks.
Operationally strong in test planning, defect lifecycle management, and validation metrics reporting across multiple release phases.
Able to work closely with data engineering teams to reproduce and resolve data quality issues during complex migration projects.